According to the query of Youtube Education, the foundation of supporting big data business is data utilization. Data utilization can provide support for big data business from four aspects: data underlying infrastructure, data aggregation, data purification and data labeling bricks.

1. Data substrate infrastructure: data storage and management is the foundation of big data business, including from the bottom of the equipment and network data to the upper layer of user behavior data, covering the network, equipment, storage, computing and other levels.

2. Data Aggregation: Data aggregation refers to the integration of data from different sources and with different structures to form a unified data collection, which facilitates subsequent data analysis and mining. Data convergence involves data cleaning, standardization, normalization and other operations to ensure the accuracy and comparability of data.

3. Data purification: data purification refers to the extraction of valuable information from a huge collection of data, which can provide support for business decisions. The process of data purification involves data mining, correlation analysis, machine learning and other technologies and methods.

4. Data Brick Marking: Data Brick Marking refers to organizing and summarizing the extracted data information to form a standardized data model and data dictionary. Doing so can facilitate subsequent data analysis and mining, and also improve the efficiency of data processing and application.